(General Hire) Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)

San Jose, California, United States

Apply now Apply later

Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.

*This channel serves as the entry point for our general hiring process: you will go through two to three rounds of technical interviews and then proceed to team matching. Your profile will be reviewed by multiple teams within Monetization Technology, which is a great benefit!

We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

Key Responsibilities
• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0

Tags: Machine Learning Streaming

Perks/benefits: Career development

Region: North America
Country: United States

More jobs like this